Search markdown repositories with QMD ranked retrieval and rg fallback.
npx skills add https://github.com/paradox123/shared-ai-docs --skill qmd-paradox123
Please help me install this Agent Skill. Skill: qmd Source: https://github.com/paradox123/shared-ai-docs/tree/main/skills-repo/skills/qmd Command: npx skills add https://github.com/paradox123/shared-ai-docs --skill qmd-paradox123
Locating relevant information across numerous markdown notes and documentation is slow and error-prone when done manually.
Ask QMD to search your markdown notes for a topic and return ranked results.
High-intent search queries and answers about installing and using this skill.
Markdown search across repositories uses QMD for ranked retrieval to surface relevant definitions and snippets. It returns ranked results from markdown-heavy repos and falls back to rg with explicit messaging when QMD is unavailable.
QMD search supports lex, vec, and hyde query types for flexible markdown retrieval workflows. These query types enable structured searches and integration with chat-based MCP workflows across knowledge bases.
Markdown search falls back to rg automatically when QMD is unavailable, providing explicit user messaging about the fallback. This ensures retrieval continues without interruption even if the QMD CLI or MCP server is missing.
Finding definitions and snippets in a markdown knowledge base is the core use case for ranked retrieval. QMD searches markdown-heavy repositories to surface the most relevant documentation content based on your query.
Ranked markdown search integrates into chat workflows through MCP-friendly query support. Using the QMD MCP server with lex, vec, or hyde query types enables structured searches directly within chat-based retrieval workflows.
eykdSearch markdown files using QMD CLI or MCP server with lex, vec, and hyde queries.
aws-samplesPerform ranked web searches with summaries and citations, and extract cleaned page text from URLs.
sbussoReplace grep-based memory search with local QMD hybrid search.
markeriksonSearch codebases for text patterns and syntax-aware AST matches.
